Package: hdImpute
Type: Package
Title: A Batch Process for High Dimensional Imputation
Version: 0.1.0
BugReports: https://github.com/pdwaggoner/hdImpute/issues
Authors@R: person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com")
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>
Description: A correlation-based batch process for fast imputation for 
    high dimensional missing data problems via chained random forests.
    See Stekhoven and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> 
    for more on missForest, and Mayer (2022) 
    <https://github.com/mayer79/missRanger> for more on missRanger.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: missRanger, plyr, purrr, magrittr, tibble, dplyr, tidyselect,
        missForest, tidyverse, usethis
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-03-02 15:46:25 UTC; philip.waggoner
Author: Philip Waggoner [aut, cre]
Repository: CRAN
Date/Publication: 2022-03-07 19:50:02 UTC
Built: R 4.0.5; ; 2022-03-08 12:19:39 UTC; unix
